Machine learning for lung cancer diagnosis, treatment, and prognosis
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …
Machine learning and deep learning applications in multiple myeloma diagnosis, prognosis, and treatment selection
Simple Summary Multiple myeloma is a malignant neoplasm of plasma cells with complex
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …
[HTML][HTML] Artificial intelligence in cancer care: From diagnosis to prevention and beyond
M Farrokhi, A Moeini, F Taheri, M Farrokhi, M Mostafavi… - Kindle, 2023 - preferpub.org
Artificial Intelligence (AI) has made significant strides in revolutionizing cancer care,
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …
encompassing various aspects from diagnosis to prevention and beyond. With its ability to …
Machine learning for the advancement of genome-scale metabolic modeling
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …
interrelations between genotype, phenotype, and external environment. The recent …
Ovarian cancer beyond imaging: integration of AI and multiomics biomarkers
High-grade serous ovarian cancer is the most lethal gynaecological malignancy. Detailed
molecular studies have revealed marked intra-patient heterogeneity at the tumour …
molecular studies have revealed marked intra-patient heterogeneity at the tumour …
Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …
A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
S Pandiyan, L Wang - Computers in Biology and Medicine, 2022 - Elsevier
Through the revolutionization of artificial intelligence (AI) technologies in clinical research,
significant improvement is observed in diagnosis of cancer. Utilization of these AI …
significant improvement is observed in diagnosis of cancer. Utilization of these AI …
Non-coding RNA-directed therapeutics in lung cancer: delivery technologies and clinical applications
Lung cancer is one of the most aggressive and deadliest health threats. There has been an
increasing interest in non-coding RNA (ncRNA) recently, especially in the areas of …
increasing interest in non-coding RNA (ncRNA) recently, especially in the areas of …
Artificial intelligence predictive models of response to cytotoxic chemotherapy alone or combined to targeted therapy for metastatic colorectal cancer patients: a …
Simple Summary Metastatic colorectal cancer (mCRC) has high incidence and mortality.
Nevertheless, innovative biomarkers have been developed for predicting the response to …
Nevertheless, innovative biomarkers have been developed for predicting the response to …
AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability
Chemical risk assessment plays a pivotal role in safeguarding public health and
environmental safety by evaluating the potential hazards and risks associated with chemical …
environmental safety by evaluating the potential hazards and risks associated with chemical …